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. The College is renowned for its exemplary research in many STEM areas including advanced manufacturing and design; computing technologies; health innovation and translational medicine; nano materials and
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
. The project is aimed to improve our in-house developed process-based computer model and use it to represent the soil ecohydrological and biogeochemical interactions across various carbon and nitrogen soil pools
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tier conferences and journals in data mining/machine learning, Artificial Intelligence in Education and Educational Data Mining, Human-Computer Interaction strong technical expertise in data mining, data
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(Academic Level A) Visa sponsorship may be available for this position Based at our St Lucia Campus - Brisbane About This Opportunity Join the Computational Multiphysics Laboratory (CML) at UQ’s School
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to demonstrate: A Completion of a PhD in a health-related discipline. Experience in qualitative and/or quantitative research methodology. The ability to plan and execute data collection and analysis. Experience
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delivery systems. The Post-doctoral fellow will play a central role in executing the research plan, from in vitro mechanistic studies to in vivo disease models, with the goal of identifying and validating
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to work independently and collaboratively. Advanced planning, time management, and written communication skills are essential, along with proven computer literacy and proficiency in relevant software and
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to climate, health, and environmental challenges. Strong candidates will have experience in ML algorithms, human-centered ML, or NLP. Supported by an ARC Future Fellowship and CSIRO-NSF project. Computational
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer
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project in collaboration with the University of Melbourne and Olivia Newton John Cancer Research Centre, providing a great opportunity to translate your computational results to practical design